Postdoctoral Associate

5 days left

Massachusetts, United States
Wednesday, 25 November 2020
End of advertisement period
Sunday, 24 January 2021
Contract Type
Full Time

Working at MIT offers opportunities, an environment, a culture and benefits that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future then take a look at this opportunity.

POSTDOCTORAL ASSOCIATE, MIT Energy Initiative (MITEI) (2 openings), to assume a position in the area of energy systems analysis.  The project develops and deploys a modular tool (SESAME) to perform systems-level life cycle and techno economic analysis for major energy and industry related pathways for strategic decision-making. Will regularly present research results at sponsor meetings and center workshops and publish papers in international conferences and in peer-reviewed journals.  The position offers an opportunity to interact and work closely with researchers at MIT and be involved in MITEI’s Low-Carbon Energy Centers.

Job Requirements

REQUIRED:  a Ph.D. in a subject pertinent to the research area; demonstrated knowledge of commercial process modeling software such as Aspen Plus and programming languages such as MATLAB or Python; excellent communication skills, including spoken and written English fluency; and ability to produce with minimal supervision and prioritize work to meet deadlines.  The ideal candidate will have expertise and a relevant track record in one or more of the following:  process modeling, life cycle analysis, techno economic assessment, and/or modeling and optimization (ideally software development).  Job #18933

In addition to applying online via the MIT website with a full CV and research statement, applicants are asked to submit these materials plus two letters of recommendation to Dr. Emre Gençer at 

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

MIT considers equivalent combinations of experience and education for certain jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply.

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